ExtraF: ExtraF

In bkaplan4/beezdemand: Behavioral Economic Easy Demand

ExtraF

Description

Extra Sum of Squares F-test

Usage

ExtraF(
  dat,
  equation = "hs",
  groups = NULL,
  verbose = FALSE,
  k,
  compare = "alpha",
  idcol = "id",
  xcol = "x",
  ycol = "y",
  groupcol = NULL,
  start_alpha = 0.001
)

Arguments

dat	Long form data frame
equation	"hs"
groups	NULL for all. Character vector matching groups in groupcol
verbose	If TRUE, prints all output including models
k	User-defined k value; if missing will attempt to find shared k and then mean emprirical range (in log units)
compare	Specify whether to compare alpha or Q0. Default is alpha
idcol	The column name that should be treated as dataset identifier
xcol	The column name that should be treated as "x" data
ycol	The column name that should be treated as "y" data
groupcol	The column name that should be treated as the groups
start_alpha	Optional numeric to inform starting value for alpha

Details

One alpha better than individual alphas?

Value

List of results and models

Author(s)

Brent Kaplan <[e-mail]>

Examples

## Compare two groups using equation by Koffarnus et al., 2015 and a fixed k of 2

apt$group <- NA
apt[apt$id %in% sample(unique(apt$id), length(unique(apt$id))/2), "group"] <- "a"
apt$group[is.na(apt$group)] <- "b"
ExtraF(apt, "koff", k = 2, groupcol = "group")

bkaplan4/beezdemand documentation built on June 11, 2025, 2:36 a.m.